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   "source": [
    "# Model example\n",
    "\n",
    "This notebook illustrates basic functionality with the `model` package that apply complex transformations on certificates.\n",
    "\n",
    "```{note}\n",
    "You probably don't need to use this. Instead, you should use `CCDataset` or `FIPSDataset` classes to handle the transformations for yourself.\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sec_certs.dataset import CCDataset\n",
    "from sec_certs.model import SARTransformer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "dset: CCDataset = CCDataset.from_web()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## SARTransformer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "transformer = SARTransformer().fit(dset.certs.values())\n",
    "extracted_sars = {x.dgst: transformer.transform_single_cert(x) for x in dset}"
   ]
  }
 ],
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